{"id":"W2335787046","doi":"10.1594/pangaea.818596","title":"In situ experiment on Calanus finmarchicus egg production and grazing rates using fecal pellet production as proxy. North Atlantic spring 2013","year":2013,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Aquatic life and conservation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Seventh Framework Programme","keywords":"Calanus finmarchicus; Spring (device); Grazing; Environmental science; Proxy (statistics); Pellet; Calanus; Fishery; Biology; Oceanography; Animal science; Ecology; Crustacean; Engineering; Copepod; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001092859,0.001113902,0.0007976594,0.001626582,0.0004104985,0.0007079732,0.001248215,0.0007209957,0.007153084],"category_scores_gemma":[0.001718801,0.0004128223,0.0008971457,0.002646072,0.0001989865,0.0003797511,0.0009685631,0.0007252258,0.005981067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084368,"about_ca_system_score_gemma":0.001434297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1053697,"about_ca_topic_score_gemma":0.2034772,"domain_scores_codex":[0.9995331,0.00006364806,0.00006376769,0.0001615106,0.0001039754,0.00007404671],"domain_scores_gemma":[0.9988417,0.0001590574,0.0002856032,0.0001982164,0.0003740852,0.0001412405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007299506,0.0002879431,0.1125739,0.001846369,0.0008740367,0.000188707,0.0001759885,0.003106839,0.001478517,0.0006350015,0.8667234,0.01137944],"study_design_scores_gemma":[0.0009707495,0.0001297571,0.5072273,0.0005112105,0.000413629,0.0001700547,0.000432885,0.003367747,0.001748606,0.0005982611,0.4843335,0.00009635556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005303951,0.00007316199,0.0001101292,0.00004111627,0.00001776599,0.00001583634,0.9939798,0.00008261902,0.000375698],"genre_scores_gemma":[0.004830056,0.0000444536,0.0003734363,0.00002507538,0.000005939555,0.0000881069,0.9939513,0.00001934907,0.0006622288],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1053697,"threshold_uncertainty_score":0.2095128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07995776171748965,"score_gpt":0.2841703559548875,"score_spread":0.2042125942373978,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}